Title :
Evaluation of Segmentation Algorithms for Coronary Angiography
Author :
Brieva, J. ; Ponce, P.
Author_Institution :
ITESM, Monterrey
Abstract :
This paper presents an evaluation technique based on ROC analysis to compare four segmentation algorithms in coronary angiography images. We have implemented four algorithms and we have optimized their parameters; then, we have compared their performances. Both steps are done by means of a ROC analysis. Experimental results are presented on simulated data and real images.
Keywords :
angiocardiography; blood vessels; image segmentation; medical image processing; sensitivity analysis; ROC analysis; coronary angiography images; parameter optimization; segmentation algorithm evaluation; Algorithm design and analysis; Angiography; Arteries; Deformable models; Image analysis; Image segmentation; Magnetic analysis; Terminology; Testing; Training data; Coronary Angiography; Deformable model; Evaluation; Segmentation; Algorithms; Artificial Intelligence; Coronary Angiography; Humans; Pattern Recognition, Automated; Radiographic Image Enhancement; Radiographic Image Interpretation, Computer-Assisted; Reproducibility of Results; Sensitivity and Specificity;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4353605
